Schmitt, Andreas und Brisco, Brian (2013) Wetland Monitoring Using the Curvelet-Based Change Detection Method on Polarimetric SAR Imagery. Water, 5 (3), Seiten 1036-1051. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/w5031036. ISSN 2073-4441.
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Offizielle URL: http://www.mdpi.com/2073-4441/5/3/1036
Kurzfassung
One fundamental task in wetland monitoring is the regular mapping of (temporarily) flooded areas especially beneath vegetation. Due to the independence of weather and illumination conditions, Synthetic Aperture Radar (SAR) sensors could provide a suitable data base. Using polarimetric modes enables the identification of flooded vegetation by means of the typical double-bounce scattering. In this paper three decomposition techniques—Cloude-Pottier, Freeman-Durden, and Normalized Kennaugh elements—are compared to each other in terms of identifying the flooding extent as well as its temporal change. The image comparison along the time series is performed with the help of the Curvelet-based Change Detection Method. The results indicate that the decomposition algorithm has a strong impact on the robustness and reliability of the change detection. The Normalized Kennaugh elements turn out to be the optimal representation for Curvelet-based change detection processing. Furthermore, the co-polarized channels (same transmit and receive polarization in horizontal (HH) and vertical (VV) direction respectively) appear to be sufficient for wetland monitoring so that dual-co-polarized imaging modes could be an alternative to conventional quad-polarized acquisitions.
elib-URL des Eintrags: | https://elib.dlr.de/83312/ | ||||||||||||
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Dokumentart: | Zeitschriftenbeitrag | ||||||||||||
Titel: | Wetland Monitoring Using the Curvelet-Based Change Detection Method on Polarimetric SAR Imagery | ||||||||||||
Autoren: |
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Datum: | 11 Juli 2013 | ||||||||||||
Erschienen in: | Water | ||||||||||||
Referierte Publikation: | Ja | ||||||||||||
Open Access: | Ja | ||||||||||||
Gold Open Access: | Ja | ||||||||||||
In SCOPUS: | Ja | ||||||||||||
In ISI Web of Science: | Ja | ||||||||||||
Band: | 5 | ||||||||||||
DOI: | 10.3390/w5031036 | ||||||||||||
Seitenbereich: | Seiten 1036-1051 | ||||||||||||
Verlag: | Multidisciplinary Digital Publishing Institute (MDPI) | ||||||||||||
Name der Reihe: | Special Issue "Advances in Remote Sensing of Flooding" | ||||||||||||
ISSN: | 2073-4441 | ||||||||||||
Status: | veröffentlicht | ||||||||||||
Stichwörter: | change detection; Curvelets; flood monitoring; flooded vegetation; image enhancement; polarimetric decomposition; polarimetry; Synthetic Aperture Radar; wetlands | ||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||
HGF - Programm: | Raumfahrt | ||||||||||||
HGF - Programmthema: | Erdbeobachtung | ||||||||||||
DLR - Schwerpunkt: | Raumfahrt | ||||||||||||
DLR - Forschungsgebiet: | R EO - Erdbeobachtung | ||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | R - Vorhaben Fernerkundung der Landoberfläche (alt) | ||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||
Institute & Einrichtungen: | Deutsches Fernerkundungsdatenzentrum > Landoberfläche | ||||||||||||
Hinterlegt von: | Schmitt, Andreas | ||||||||||||
Hinterlegt am: | 17 Jul 2013 08:44 | ||||||||||||
Letzte Änderung: | 07 Nov 2023 07:53 |
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